Evidence map›Paper›PMID 40011845›Full record

ArticleBMC psychiatry2025

Prevalence, sub-types, and associated factors of anemia among inpatients at a tertiary psychiatric hospital in Tanzania: a cross-sectional study.

Valeria Msigwa, Zahra Morawej, Ally Kinyaga, Shubi Ambwene Matovelo, Azan Nyundo

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Valeria MsigwaDepartment of Psychiatry and Mental Health, School of Medicine and Dentistry, The University of Dodoma, Dodoma, Tanzania.
Zahra MorawejDepartment of Psychiatry, Faculty of Medicine, Hubert Kairuki Memorial University, Dar es Salaam, Tanzania.
Ally KinyagaDepartment of Surveillance, Monitoring and Evaluation, Centre for Reforms, Innovation, Health Policies and Implementation Research (CeRIHI), Dodoma, Tanzania.
Shubi Ambwene MatoveloDepartment of Medical Biochemistry, School of Medicine and Dentistry, The University of Dodoma, Dodoma, Tanzania. shubi.matovelo@udom.ac.tz.
Azan NyundoDepartment of Psychiatry and Mental Health, School of Medicine and Dentistry, The University of Dodoma, Dodoma, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia has been linked to psychiatric disorders including depression, bipolar disorder, and schizophrenia. Studies have demonstrated an association between anemia and worsening clinical presentation and treatment outcomes of these disorders. This study aimed to assess the prevalence and factors associated with anemia among adult patients admitted at Mirembe National Mental Health Hospital (MNMH) in Dodoma, Tanzania.

methodsA cross-sectional analytical study was conducted at MNMH among 265 adults admitted at the hospital. Socio-demographic and clinical variables were collected using a closed-ended questionnaire, and anemia and other hematological indices were assessed via complete blood count (CBC). Data were entered into an Open Data Kit (ODK) app and analyzed using SAS version 9.4. Chi-squared test was used initially to assess association between individual exposures and the outcome, anemia. Variables with a p-value < 0.20 from the chi squared analysis were fitted into a logistic regression model to determine their odds of association with anemia. Odds ratios from adjusted regression analysis were used to identify factors independently associated with anemia. Significance level was set at p value < 0.05.

resultsThe prevalence of anemia among adult patients admitted at MNMH was 44% (CI 38.08, 50.36). The majority of participants had mild anemia (74.36%). Microcytic hypochromic and normocytic normochromic were the common types of anemia (47% and 46% respectively). Being male, institutionalization, and using Olanzapine was associated with anemia among participants at bivariate analysis, however, only institutionalization remained as a statistically significant factor associated with anemia at multivariable analysis (AOR:5.742, 95% CI 2.048, 16.105).

conclusionsComprehensive care strategies addressing anemia among psychiatric inpatients are crucial, extending beyond psychiatric symptoms to address factors related to prolonged admission, such as nutritional considerations. It is recommended that regular screening for anemia be implemented among psychiatric inpatients and efforts should be made to investigate and address the underlying causes of anemia among this population.

Indexed as

AnemiaHospitals, PsychiatricInpatientsMental DisordersAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsTanzaniaTertiary Care CentersYoung AdultAnemiaDodomaFactorsPrevalencePsychiatric patientsSeverityTanzaniaType of anemia

Identifiers

PMID40011845
PMCPMC11866589

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.